Search Results - "Wang, Wan‐Lun"

Multivariate Contaminated Normal Censored Regression Model: Properties and Maximum Likelihood Inference by Wang, Wan-Lun

“…The Multivariate Contaminated Normal (MCN) distribution which contains two extra parameters with respect to parameters of the multivariate normal distribution,…”
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Bayesian analysis of multivariate linear mixed models with censored and intermittent missing responses by Wang, Wan‐Lun

“…Multivariate longitudinal data usually exhibit complex features such as the presence of censored responses due to detection limits of the assay and unavoidable…”
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Multivariate longitudinal data analysis with censored and intermittent missing responses by Lin, Tsung‐I, Lachos, Victor H., Wang, Wan‐Lun

“…The multivariate linear mixed model (MLMM) has emerged as an important analytical tool for longitudinal data with multiple outcomes. However, the analysis of…”
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Multivariate-t linear mixed models with censored responses, intermittent missing values and heavy tails by Lin, Tsung-I, Wang, Wan-Lun

“…Multivariate longitudinal data arisen in medical studies often exhibit complex features such as censored responses, intermittent missing values, and atypical…”
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Multivariate linear mixed models with censored and nonignorable missing outcomes, with application to AIDS studies by Lin, Tsung‐I, Wang, Wan‐Lun

“…The analysis of multivariate longitudinal data could encounter some complications due to censorship induced by detection limits of the assay and nonresponse…”
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Flexible modeling of multiple nonlinear longitudinal trajectories with censored and non-ignorable missing outcomes by Lin, Tsung-I, Wang, Wan-Lun

“…Multivariate nonlinear mixed-effects models (MNLMMs) have become a promising tool for analyzing multi-outcome longitudinal data following nonlinear trajectory…”
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Mixture of multivariate t nonlinear mixed models for multiple longitudinal data with heterogeneity and missing values by Wang, Wan-Lun

“…The multivariate t nonlinear mixed-effects model (MtNLMM) has been shown to be effective for analyzing multi-outcome longitudinal data following nonlinear…”
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Robust clustering of multiply censored data via mixtures of t factor analyzers by Wang, Wan-Lun, Lin, Tsung-I

“…Mixtures of t factor analyzers (MtFA) have been well recognized as a prominent tool in modeling and clustering multivariate data contaminated with…”
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Bayesian multivariate nonlinear mixed models for censored longitudinal trajectories with non-monotone missing values by Wang, Wan-Lun, Castro, Luis M., Lin, Tsung-I

“…The analysis of multivariate longitudinal data may often encounter a difficult task, particularly in the presence of censored measurements induced by detection…”
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Model-based clustering via mixtures of unrestricted skew normal factor analyzers with complete and incomplete data by Wang, Wan-Lun, Lin, Tsung-I

“…Mixtures of factor analyzers (MFA) based on the restricted skew normal distribution (rMSN) have emerged as a flexible tool to handle asymmetrical…”
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Identification of hub genes associated with spermatogenesis by bioinformatics analysis by Liu, Shuang, Bian, Yan-chao, Wang, Wan-lun, Liu, Tong-Jia, Zhang, Ting, Chang, Yue, Xiao, Rui, Zhang, Chuan-ling

“…Spermatogenesis is a complex process related to male infertility. Till now, the critical genes and specific mechanisms have not been elucidated clearly. Our…”
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Multivariate t nonlinear mixed-effects models for multi-outcome longitudinal data with missing values by Wang, Wan-Lun, Lin, Tsung-I

“…The multivariate nonlinear mixed‐effects model (MNLMM) has emerged as an effective tool for modeling multi‐outcome longitudinal data following nonlinear growth…”
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Multivariate t linear mixed models for irregularly observed multiple repeated measures with missing outcomes by Wang, Wan-Lun

“…Missing outcomes or irregularly timed multivariate longitudinal data frequently occur in clinical trials or biomedical studies. The multivariate t linear mixed…”
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Mixtures of t$$ t $$ factor analysers with censored responses and external covariates: An application to educational data from Peru by Wang, Wan‐Lun, Castro, Luis M., Li, Huei‐Jyun, Lin, Tsung‐I

“…Analysing data from educational tests allows governments to make decisions for improving the quality of life of individuals in a society. One of the key…”
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On moments of folded and truncated multivariate Student-t distributions based on recurrence relations by Galarza, Christian E., Lin, Tsung-I, Wang, Wan-Lun, Lachos, Víctor H.

“…The use of the first two moments of the truncated multivariate Student-t distribution has attracted increasing attention from a wide range of applications…”
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Finite mixtures of multivariate scale-shape mixtures of skew-normal distributions by Wang, Wan-Lun, Jamalizadeh, Ahad, Lin, Tsung-I

“…Finite mixtures of multivariate skew distributions have become increasingly popular in recent years due to their flexibility and robustness in modeling…”
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Interfering B cell receptor signaling via SHP-1/p-Lyn axis shows therapeutic potential in diffuse large B-cell lymphoma by Chen, Ji-Lin, Chu, Pei-Yi, Huang, Chun-Teng, Huang, Tzu-Ting, Wang, Wan-Lun, Lee, Yu-Hsuan, Chang, Yuan-Ya, Dai, Ming-Shen, Shiau, Chung-Wai, Liu, Chun-Yu

“…Abstract Background Diffuse large B cell lymphoma (DLBCL) is an aggressive and molecularly heterogeneous non-Hodgkin’s lymphoma. The B cell receptor (BCR)…”
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Bayesian semiparametric modeling for HIV longitudinal data with censoring and skewness by Castro, Luis M, Wang, Wan-Lun, Lachos, Victor H, Inácio de Carvalho, Vanda, Bayes, Cristian L

“…In biomedical studies, the analysis of longitudinal data based on Gaussian assumptions is common practice. Nevertheless, more often than not, the observed…”
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Multivariate measurement error models with normal mean‐variance mixture distributions by Mirfarah, Elham, Naderi, Mehrdad, Lin, Tsung‐I, Wang, Wan‐Lun

“…The class of normal mean‐variance mixture (NMVM) distributions is a rich family of asymmetric and heavy‐tailed distributions and has been widely considered in…”
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Multivariate t semiparametric mixed-effects model for longitudinal data with multiple characteristics by Taavoni, M., Arashi, M., Wang, Wan-Lun, Lin, Tsung-I

“…Semiparametric mixed-effects models (SMM) have received increasing attention in recent years because of the greater flexibility in analysing longitudinal…”
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